Health management system

Abstract

Described herein is an integrated health management system, and method that includes a pre-packaged tablet delivery apparatus configured to deliver pre-packaged tablets to a user. The delivery apparatus comprising an alignment guide, a processor modulated differential drive used for the directional control of the pre-packaged tablets, a sensor for sensing a location and an orientation of the pre-packaged tablet, a cutter mechanism, and cutter mechanism control logic. The sensed location and orientation of the pre-packaged tablet is used to modulate the differential drive. The cutter mechanism control logic is configured to monitor the sensed pre-packaged tablet location and orientation, then initiate a cutting sequence responsive to at least one of the predetermined configuration within the processor and the dynamic configuration responsive to determining an optimal sensed location and orientation. The control logic generates and logs a message into the distributed database responsive to the cutting sequence.

1 . An integrated health management system, comprising:
 a processor connected to a communications system and a memory wherein the memory stores a database, wherein the database is configured as a distributed database, wherein the distributed database is distributed across at least one of different physical locations, one or more processors located proximate to the processor, and a local network of interconnected processors, the processor coupled to a patient data pipeline, the patient data pipeline performing at least one of a stream processing and a data transformation process;   a provisioning layer coupled to the patient data pipeline, the provisioning layer assisting in system management;   an application server comprising at least one sensor and one application operating in combination for generation of first data;   a first healthcare system database within the patient data pipeline, the first healthcare system database to store the first data;   a second healthcare system database within the patient data pipeline, the second healthcare system database to transform and store the first data as transformed data;   an actions module coupled to the patient data pipeline comprising:
 a machine learning module, the machine learning module to receive the transformed data and user intervention data as an input and to output predictions associated with healthcare outcomes; 
   a package delivery apparatus configured to deliver strip packaged medications and over-the-counter medications based at least in part on the predictions associated with the healthcare outcomes to a user, wherein the package delivery apparatus includes:
 a cutter mechanism and a cutter mechanism control logic; 
   a sensor data collection system, wherein the sensor data is responsive to the user and stored in the distributed database; and
 a delivery apparatus system to modify a delivery of a medication based at least in part on the predictions associated with the healthcare outcomes; and 
   a personalized reporting system connected through the provisioning layer to the application server, wherein the personalized reporting system is configured to:
 use the machine learning module to determine a change in healthcare outcomes based at least in part on the predictions associated with the healthcare outcomes and second data, and 
 use the personalized reporting system to generate a message to at least one of a patient, a caretaker, and a healthcare professional, wherein the message includes the change in the healthcare outcomes. 
   
     
     
         2 . The integrated health management system of  claim 1 , wherein the patient data pipeline is distributed across one or more physical locations. 
     
     
         3 . The integrated health management system of  claim 1 , wherein the first healthcare system database is a warm path store or a cloud service. 
     
     
         4 . The integrated health management system of  claim 1 , wherein the first data collected by the first healthcare system database is at least one of biometric data and user intervention data. 
     
     
         5 . The integrated health management system of  claim 4 , wherein biometric data includes at least one of heart rate data, blood pressure data, temperature data, blood oxygen level data, and weight data. 
     
     
         6 . The integrated health management system of  claim 1 , further comprising a patient authentication system to authenticate a patient based at least in part on one or more of biometric data or a personal identification number (PIN). 
     
     
         7 . The integrated health management system of  claim 1 , further comprising a patient authentication system to authenticate a user based at least in part on at least one of a retinal scan or a fingerprint scan. 
     
     
         8 . The integrated health management system of  claim 1 , wherein the machine learning module is trained based at least in part on communication with one or more data sets within the patient data pipeline. 
     
     
         9 . The integrated health management system of  claim 1 , wherein the delivery apparatus system comprises a cutter mechanism and a cutter control system. 
     
     
         10 . The integrated health management system of  claim 1 , wherein the application server comprising at least a second sensor and second application operating in combination for generation of a second data, wherein the second data is transmitted through a second provisioning layer to a second Internet of Things service. 
     
     
         11 . The integrated health management system of  claim 1 , wherein the at least one sensor generates data in support of certain health conditions, wherein the certain health conditions includes at least one of hypertension, chronic obstructive pulmonary disease, depression, and diabetes. 
     
     
         12 . The integrated health management system of  claim 1 , wherein the application server includes sensor data in support of a home automation system configured to connect controlled smart home devices to a central hub and gateway. 
     
     
         13 . The integrated health management system of  claim 12 , wherein the sensor data in support of a home automation system includes sound event detection for processing acoustic signals and converting them into messages representing localized sound events, wherein the localized sound events impact the healthcare outcomes. 
     
     
         14 . The integrated health management system of  claim 13 , wherein the sound event detection and processing is configured for speech recognition and translation of spoken language into text.